{"id":604,"date":"2026-09-14T20:01:23","date_gmt":"2026-09-14T18:01:23","guid":{"rendered":"https:\/\/aeloapp.io\/?page_id=604"},"modified":"2026-09-16T15:29:29","modified_gmt":"2026-09-16T13:29:29","slug":"research","status":"publish","type":"page","link":"https:\/\/aeloapp.io\/en\/wiedza\/badania\/","title":{"rendered":"Research"},"content":{"rendered":"<main id='bde-main'><section class=\"bde-section-604-100 bde-section ae-bad-head\">\n  \n  \n\t\n\n\n\n<div class=\"section-container\"><div class=\"bde-text-604-101 bde-text\" data-entrance=\"slideUp\">\n<nav class=\"bc\" aria-label=\"Crumbs\"><ol itemscope itemtype=\"https:\/\/schema.org\/BreadcrumbList\"><li itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\"><a itemprop=\"item\" href=\"https:\/\/aeloapp.io\/en\/\"><span itemprop=\"name\">Home<\/span><\/a><meta itemprop=\"position\" content=\"1\"><i aria-hidden=\"true\">\/<\/i><\/li><li itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\"><a itemprop=\"item\" href=\"https:\/\/aeloapp.io\/en\/knowledge\/\"><span itemprop=\"name\">Knowledge<\/span><\/a><meta itemprop=\"position\" content=\"2\"><i aria-hidden=\"true\">\/<\/i><\/li><li itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\"><span itemprop=\"name\" aria-current=\"page\">Research<\/span><meta itemprop=\"position\" content=\"3\"><\/li><\/ol><\/nav>\n<\/div><div class=\"bde-div-604-102 bde-div\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-103 bde-text\" data-entrance=\"slideUp\">\nKnowledge\n<\/div><h1 class=\"bde-heading-604-104 bde-heading\" data-entrance=\"slideUp\">\nResearch\n<\/h1><div class=\"bde-text-604-105 bde-text\" data-entrance=\"slideUp\">\nHere we publish the results of our own measurements of brand visibility in AI responses. The first study covers a single brand, a fixed set of 18 queries, and measurements from June, July and September 2026. Key finding: the brand went from zero mentions to being the most frequently cited source in its category, yet the models still do not recommend it.\n<\/div><div class=\"bde-text-604-106 bde-text\" data-entrance=\"slideUp\">\nLast updated: 14 September 2026 \u00b7 reading time: approximately 7 minutes\n<\/div>\n<\/div><div class=\"bde-text-604-107 bde-text\" data-entrance=\"slideUp\">\n<nav class=\"toc\" aria-label=\"On this page\"><b>On this page<\/b><ol><li><a href=\"#zakres\">Measurement range<\/a><\/li><li><a href=\"#wyniki\">Results<\/a><\/li><li><a href=\"#wnioski\">What does this mean?<\/a><\/li><li><a href=\"#modele\">Differences between the models<\/a><\/li><li><a href=\"#ograniczenia\">What doesn\u2019t this show?<\/a><\/li><li><a href=\"#faq\">Questions<\/a><\/li><\/ol><\/nav>\n<\/div><\/div>\n<\/section><section id=\"zakres\" class=\"bde-section-604-108 bde-section ae-bad-scope\">\n  \n  \n\t\n\n\n\n<div class=\"section-container\"><div class=\"bde-columns-604-109 bde-columns\" data-entrance=\"slideUp\"><div class=\"bde-column-604-110 bde-column\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-111 bde-text\" data-entrance=\"slideUp\">\nMethod\n<\/div><h2 class=\"bde-heading-604-112 bde-heading\" data-entrance=\"slideUp\">\nWhat exactly did we measure?\n<\/h2><div class=\"bde-text-604-113 bde-text\" data-entrance=\"slideUp\">\nThe study covered a single brand: a regional manufacturer of building materials and fertilisers, selling mainly within a single province. A set of 18 purchase enquiries was fixed prior to the first measurement and remained unchanged between scans.\n<\/div><div class=\"bde-text-604-114 bde-text\" data-entrance=\"slideUp\">\nBetween the first and last measurements, the set of engines and the method used to calculate the average visibility index changed. We have therefore not included visibility figures as percentages here: the values from June and September are not comparable. We have retained only those indicators which we have calculated in the same way throughout.\n<\/div><div class=\"bde-text-604-115 bde-text\" data-entrance=\"slideUp\">\nAll three are simple counts: how many queries mention the brand, in how many models do they refer to its domain, and how many search engines recommend the brand without any prompts. We describe the counting method in <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/methodology\/\">methodology<\/a>.\n<\/div>\n<\/div><div class=\"bde-column-604-116 bde-column\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-code-block-604-117 bde-code-block\" data-entrance=\"slideUp\">\n\n  <div class=\"df\">\n  <span class=\"df-lab\">Study parameters<\/span>\n  <div class=\"df-list\">\n    <div class=\"df-i\"><i class=\"a\"><\/i><span><b>Brand<\/b>One. A regional producer of building materials and fertilisers, operating within a single province.<\/span><\/div>\n    <div class=\"df-i\"><i class=\"b\"><\/i><span><b>Enquiries<\/b>18, frozen prior to the first measurement, identical in every scan.<\/span><\/div>\n    <div class=\"df-i\"><i class=\"c\"><\/i><span><b>Measurements<\/b>June, July and September 2026. In the intervening period, the brand worked on raising its profile.<\/span><\/div>\n    <div class=\"df-i\"><i class=\"d\"><\/i><span><b>Engines<\/b>Four in the latest survey. The sample changed over the course of the survey, which limited the comparability of some of the indicators.<\/span><\/div>\n  <\/div>\n  <p class=\"df-foot\">We do not mention any brand names. The study describes the mechanism, not a specific company.<\/p>\n<\/div>\n<style>\n.df{background:#25272D;border-radius:20px;padding:26px;font-family:'Nunito Sans',sans-serif}\n.df-lab{display:block;font:800 10px\/1 'Nunito Sans';letter-spacing:.1em;text-transform:uppercase;color:#8E93A0;margin-bottom:18px}\n.df-list{display:flex;flex-direction:column;gap:10px}\n.df-i{display:flex;gap:12px;align-items:flex-start;background:rgba(245,246,248,.05);border:1px solid rgba(245,246,248,.12);border-radius:12px;padding:14px}\n.df-i i{width:8px;height:8px;border-radius:50%;flex-shrink:0;margin-top:6px}\n.df-i .a{background:#B79CFF}.df-i .b{background:#7FB3F0}.df-i .c{background:#E0B872}.df-i .d{background:#4FD6B4}\n.df-i b{display:block;font:800 13px\/1.3 'Nunito Sans';color:#F5F6F8}\n.df-i span{font:400 12.5px\/1.6 'Nunito Sans';color:#9AA0AB}\n.df-foot{margin:18px 0 0;padding-top:16px;border-top:1px solid rgba(245,246,248,.12);font:400 12.5px\/1.7 'Nunito Sans';color:#8E93A0}\n<\/style>\n\n\n<\/div>\n<\/div><\/div><\/div>\n<\/section><section id=\"wyniki\" class=\"bde-section-604-118 bde-section ae-bad-res\">\n  \n  \n\t\n\n\n\n<div class=\"section-container\"><div class=\"bde-div-604-119 bde-div\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-120 bde-text\" data-entrance=\"slideUp\">\nResults\n<\/div><h2 class=\"bde-heading-604-121 bde-heading\" data-entrance=\"slideUp\">\nWhat did the subsequent measurements reveal?\n<\/h2><div class=\"bde-text-604-122 bde-text\" data-entrance=\"slideUp\">\nTwo curves are rising together. The third one hasn\u2019t budged.\n<\/div>\n<\/div><div class=\"bde-code-block-604-123 bde-code-block\" data-entrance=\"slideUp\">\n\n  <div class=\"wy\">\n  <div class=\"wy-head\">\n    <span class=\"wy-lab\">Study procedure; measurements taken in June, July and September 2026<\/span>\n    <div class=\"wy-leg\">\n      <span class=\"wy-lg\"><i style=\"background:#6D5FC7\"><\/i>Search queries mentioning the brand<\/span>\n      <span class=\"wy-lg\"><i style=\"background:#1F9D74\"><\/i>Search queries containing the brand\u2019s domain name<\/span>\n    <\/div>\n  <\/div>\n  <svg viewbox=\"0 0 620 260\" class=\"wy-chart\" role=\"img\" aria-label=\"Chart: Brand mentions have risen from 0 to 18 out of 18 queries; domain citations have risen from 6 to 94 per cent\">\n    <g stroke=\"rgba(37,39,45,.08)\" stroke-width=\"1\">\n      <line x1=\"60\" y1=\"30\" x2=\"580\" y2=\"30\"\/>\n      <line x1=\"60\" y1=\"90\" x2=\"580\" y2=\"90\"\/>\n      <line x1=\"60\" y1=\"150\" x2=\"580\" y2=\"150\"\/>\n      <line x1=\"60\" y1=\"210\" x2=\"580\" y2=\"210\"\/>\n    <\/g>\n    <g font-family=\"Nunito Sans, sans-serif\" font-size=\"11\" font-weight=\"700\" fill=\"#8A8F9A\">\n      <text x=\"16\" y=\"34\">100%<\/text>\n      <text x=\"22\" y=\"94\">66%<\/text>\n      <text x=\"22\" y=\"154\">33%<\/text>\n      <text x=\"30\" y=\"214\">0%<\/text>\n    <\/g>\n    <path d=\"M120 210 L350 40 L540 30\" fill=\"none\" stroke=\"#6D5FC7\" stroke-width=\"3\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n    <path d=\"M120 199 L350 120 L540 41\" fill=\"none\" stroke=\"#1F9D74\" stroke-width=\"3\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-dasharray=\"7 5\"\/>\n    <g>\n      <circle cx=\"120\" cy=\"210\" r=\"6\" fill=\"#6D5FC7\"\/>\n      <circle cx=\"350\" cy=\"40\" r=\"6\" fill=\"#6D5FC7\"\/>\n      <circle cx=\"540\" cy=\"30\" r=\"6\" fill=\"#6D5FC7\"\/>\n      <circle cx=\"120\" cy=\"199\" r=\"6\" fill=\"#1F9D74\"\/>\n      <circle cx=\"350\" cy=\"120\" r=\"6\" fill=\"#1F9D74\"\/>\n      <circle cx=\"540\" cy=\"41\" r=\"6\" fill=\"#1F9D74\"\/>\n    <\/g>\n    <g font-family=\"Nunito Sans, sans-serif\" font-size=\"12\" font-weight=\"800\" fill=\"#25272D\">\n      <text x=\"120\" y=\"236\" text-anchor=\"middle\">June<\/text>\n      <text x=\"350\" y=\"236\" text-anchor=\"middle\">July<\/text>\n      <text x=\"540\" y=\"236\" text-anchor=\"middle\">September<\/text>\n    <\/g>\n    <g font-family=\"Nunito Sans, sans-serif\" font-size=\"11\" font-weight=\"700\" fill=\"#6D5FC7\">\n      <text x=\"120\" y=\"254\" text-anchor=\"middle\">0 out of 18<\/text>\n      <text x=\"350\" y=\"254\" text-anchor=\"middle\">17 out of 18<\/text>\n      <text x=\"540\" y=\"254\" text-anchor=\"middle\">18 out of 18<\/text>\n    <\/g>\n  <\/svg>\n  <p class=\"wy-foot\">Both figures are calculated using the same set of 18 queries in each measurement. The vertical axis shows the proportion of queries, not the average visibility metric.<\/p>\n<\/div>\n<style>\n.wy{background:#fff;border:1px solid #E7E9EE;border-radius:20px;padding:26px;font-family:'Nunito Sans',sans-serif}\n.wy-head{display:flex;flex-wrap:wrap;gap:14px;justify-content:space-between;align-items:flex-start;margin-bottom:18px}\n.wy-lab{font:800 10px\/1.4 'Nunito Sans';letter-spacing:.1em;text-transform:uppercase;color:#8A8F9A;max-width:280px}\n.wy-leg{display:flex;flex-wrap:wrap;gap:8px 16px}\n.wy-lg{display:inline-flex;align-items:center;gap:7px;font:700 12px\/1 'Nunito Sans';color:#3B3E47}\n.wy-lg i{width:10px;height:10px;border-radius:50%;flex-shrink:0}\n.wy-chart{width:100%;height:auto;display:block}\n.wy-foot{margin:18px 0 0;padding-top:16px;border-top:1px solid #EAEBEF;font:400 12.5px\/1.7 'Nunito Sans';color:#8A8F9A}\n<\/style>\n\n\n<\/div><div class=\"bde-columns-604-124 bde-columns\" data-entrance=\"slideUp\"><div class=\"bde-column-604-125 bde-column\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-126 bde-text\" data-entrance=\"slideUp\">\n<span class=\"w\"><span class=\"wt\">Brand mentions<\/span><span class=\"wq\">0 out of 18 \u2192 17 out of 18 \u2192 18 out of 18<\/span><span class=\"wd\">In June, the brand did not appear even once, although the models discussed its category at length. In September, it appears in every query in the set.<\/span><\/span>\n<\/div>\n<\/div><div class=\"bde-column-604-127 bde-column\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-128 bde-text\" data-entrance=\"slideUp\">\n<span class=\"w\"><span class=\"wt\">Citing your own domain<\/span><span class=\"wq\">6% \u2192 50% \u2192 94%<\/span><span class=\"wd\">In the latest survey, the brand\u2019s domain is the source for 17 out of 18 queries and is cited more often than any other domain in the category.<\/span><\/span>\n<\/div>\n<\/div><div class=\"bde-column-604-129 bde-column\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-130 bde-text\" data-entrance=\"slideUp\">\n<span class=\"w\"><span class=\"wt\">Recommendation<\/span><span class=\"wq\">0 \u2192 0 \u2192 1 engine<\/span><span class=\"wd\">The findings have remained the same for three months: consumers are aware of the brand but do not recommend it of their own accord. The barrier described is identical in every report.<\/span><\/span>\n<\/div>\n<\/div><\/div><div class=\"bde-text-604-131 bde-text\" data-entrance=\"slideUp\">\nAt that time, the brand was working on its own website: it was updating product pages, adding information about the company and organising content to address buyers\u2019 queries. It did not receive any independent reviews or achieve any rankings during this period. The first two metrics reflected this work, but the third did not.\n<\/div><\/div>\n<\/section><section id=\"wnioski\" class=\"bde-section-604-132 bde-section ae-bad-conc\">\n  \n  \n\t\n\n\n\n<div class=\"section-container\"><div class=\"bde-div-604-133 bde-div\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-134 bde-text\" data-entrance=\"slideUp\">\nConclusion\n<\/div><h2 class=\"bde-heading-604-135 bde-heading\" data-entrance=\"slideUp\">\nVisibility and a recommendation are two different things\n<\/h2><div class=\"bde-text-604-136 bde-text\" data-entrance=\"slideUp\">\nWorking on their own website was enough for the models to start mentioning and quoting the brand. It wasn\u2019t enough for them to start recommending it.\n<\/div>\n<\/div><div class=\"bde-code-block-604-137 bde-code-block\" data-entrance=\"slideUp\">\n\n  <div class=\"kr\">\n  <div class=\"kr-i\">\n    <span class=\"kr-n\">01<\/span>\n    <div><b>The fact that there are no mentions does not mean the topic is dead<\/b>\n    <span>In the first survey, the models discussed the category at length and named specific suppliers. The brand simply wasn\u2019t mentioned. The absence of any mention is an indication of the brand, not of a lack of interest in the topic.<\/span><\/div>\n  <\/div>\n  <div class=\"kr-i\">\n    <span class=\"kr-n\">02<\/span>\n    <div><b>A custom domain triggers two out of three indicators<\/b>\n    <span>Organising the content and data describing the company resulted in mentions and citations within a single month. This is the fastest traffic available.<\/span><\/div>\n  <\/div>\n  <div class=\"kr-i\">\n    <span class=\"kr-n\">03<\/span>\n    <div><b>Being the most frequently cited source does not constitute a recommendation<\/b>\n    <span>In the latest survey, models refer to the brand\u2019s website more often than to any other source in the category, yet they still do not recommend it. The fact that it is cited is evidence of the content\u2019s availability, not of its quality.<\/span><\/div>\n  <\/div>\n  <div class=\"kr-i\">\n    <span class=\"kr-n\">04<\/span>\n    <div><b>The barrier remained the same for three months<\/b>\n    <span>In every report, the models highlighted the same shortcoming: a lack of independent rankings, comparative tests and external reviews. No changes made to their own website have altered this.<\/span><\/div>\n  <\/div>\n<\/div>\n<style>\n.kr{max-width:900px;font-family:'Nunito Sans',sans-serif;display:flex;flex-direction:column;gap:12px}\n.kr-i{display:flex;gap:16px;align-items:flex-start;background:#F1F2F5;border-radius:14px;padding:18px 20px}\n.kr-n{font-family:'DM Serif Display',Georgia,serif;font-size:17px;line-height:1.2;color:#6D5FC7;flex-shrink:0;padding-top:2px}\n.kr-i b{display:block;font:800 15.5px\/1.45 'Nunito Sans';color:#25272D}\n.kr-i span{display:block;font:400 14px\/1.7 'Nunito Sans';color:#6B6E78;margin-top:6px}\n<\/style>\n\n\n<\/div><div class=\"bde-text-604-138 bde-text\" data-entrance=\"slideUp\">\nWe describe this condition separately in the article <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/knows-it-but-doesnt-recommend-it\/\">knows it, but doesn\u2019t recommend it<\/a>. The study shows how much work can be done in it without changing it in the slightest.\n<\/div><\/div>\n<\/section><section id=\"modele\" class=\"bde-section-604-139 bde-section ae-bad-eng\">\n  \n  \n\t\n\n\n\n<div class=\"section-container\"><div class=\"bde-div-604-140 bde-div\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-141 bde-text\" data-entrance=\"slideUp\">\nObservation\n<\/div><h2 class=\"bde-heading-604-142 bde-heading\" data-entrance=\"slideUp\">\nThe same brand, the same questions, different answers\n<\/h2><div class=\"bde-text-604-143 bde-text\" data-entrance=\"slideUp\">\nData from a single measurement, taken in September 2026. Four engines received an identical set of queries on the same day.\n<\/div>\n<\/div><div class=\"bde-code-block-604-144 bde-code-block\" data-entrance=\"slideUp\">\n\n  <div class=\"mo\">\n  <span class=\"mo-lab\">Proportion of responses mentioning the brand, measured in September 2026<\/span>\n  <div class=\"mo-rows\">\n    <div class=\"mo-r\"><span class=\"mo-n\">Claude<\/span><div class=\"mo-b\"><i style=\"width:100%\"><\/i><\/div><span class=\"mo-v\">100%<\/span><span class=\"mo-p\">average position 1.8<\/span><\/div>\n    <div class=\"mo-r\"><span class=\"mo-n\">Perplexity<\/span><div class=\"mo-b\"><i style=\"width:100%\"><\/i><\/div><span class=\"mo-v\">100%<\/span><span class=\"mo-p\">average position 11.2<\/span><\/div>\n    <div class=\"mo-r\"><span class=\"mo-n\">ChatGPT<\/span><div class=\"mo-b\"><i style=\"width:56%\"><\/i><\/div><span class=\"mo-v\">56%<\/span><span class=\"mo-p\">average position 10.3<\/span><\/div>\n    <div class=\"mo-r\"><span class=\"mo-n\">Gemini<\/span><div class=\"mo-b\"><i style=\"width:44%\"><\/i><\/div><span class=\"mo-v\">44%<\/span><span class=\"mo-p\">average position 12.9<\/span><\/div>\n  <\/div>\n  <p class=\"mo-foot\">Mentions and rankings are two separate things. Both search engines mention the brand in every result, but one places it in the top two, whilst the other ranks it only around eleventh place.<\/p>\n<\/div>\n<style>\n.mo{background:#25272D;border-radius:20px;padding:28px;font-family:'Nunito Sans',sans-serif}\n.mo-lab{display:block;font:800 10px\/1.4 'Nunito Sans';letter-spacing:.1em;text-transform:uppercase;color:#8E93A0;margin-bottom:22px}\n.mo-rows{display:flex;flex-direction:column;gap:16px}\n.mo-r{display:grid;grid-template-columns:104px 1fr 56px 124px;align-items:center;gap:14px}\n.mo-n{font:700 13.5px\/1.3 'Nunito Sans';color:#F5F6F8}\n.mo-b{height:8px;border-radius:999px;background:rgba(245,246,248,.12);position:relative}\n.mo-b i{position:absolute;left:0;top:0;bottom:0;border-radius:999px;background:#B79CFF}\n.mo-v{font:800 13px\/1 'Nunito Sans';color:#B79CFF;text-align:right}\n.mo-p{font:400 12px\/1 'Nunito Sans';color:#9AA0AB;text-align:right}\n.mo-foot{margin:22px 0 0;padding-top:18px;border-top:1px solid rgba(245,246,248,.12);font:400 12.5px\/1.7 'Nunito Sans';color:#9AA0AB}\n@media (max-width:720px){\n  .mo-r{grid-template-columns:90px 1fr 48px;row-gap:4px}\n  .mo-p{grid-column:2 \/ -1;text-align:left}\n}\n<\/style>\n\n\n<\/div><div class=\"bde-text-604-145 bde-text\" data-entrance=\"slideUp\">\nA practical point concerns how to check this. If someone types a query about their own category into a chat and sees their own brand in first place, they are looking at the result from a single search engine, not an accurate picture of their visibility. The same brand, in a different search query on the same day, appears in less than half of the results. We explain how to check this for yourself in the article <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/how-to-check-whether-ai-recognises-the-brand\/\">how to find out what AI says about a company<\/a>.\n<\/div><\/div>\n<\/section><section id=\"ograniczenia\" class=\"bde-section-604-146 bde-section ae-bad-limits\">\n  \n  \n\t\n\n\n\n<div class=\"section-container\"><div class=\"bde-div-604-147 bde-div\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-148 bde-text\" data-entrance=\"slideUp\">\nTo be honest\n<\/div><h2 class=\"bde-heading-604-149 bde-heading\" data-entrance=\"slideUp\">\nWhat this study does not show\n<\/h2><div class=\"bde-text-604-150 bde-text\" data-entrance=\"slideUp\">\nLimitations you need to be aware of before applying these figures to your own category.\n<\/div>\n<\/div><div class=\"bde-code-block-604-151 bde-code-block\" data-entrance=\"slideUp\">\n\n  <div class=\"lm\">\n  <div class=\"lm-i\"><i class=\"a\"><\/i><span><b>It\u2019s one brand, not a trial<\/b>The results describe a specific case within a specific category. They do not provide a basis for making claims about the market or about how another sector might behave.<\/span><\/div>\n  <div class=\"lm-i\"><i class=\"b\"><\/i><span><b>This category is specific<\/b>A technical product, regional sales, competition comprising several large manufacturers. In a saturated market, the pace would be different.<\/span><\/div>\n  <div class=\"lm-i\"><i class=\"c\"><\/i><span><b>The method changed during the course of<\/b>Between measurements, the set of engines and the method used to calculate average visibility changed. We are therefore only showing the figures that have been calculated in the same way from the start.<\/span><\/div>\n  <div class=\"lm-i\"><i class=\"d\"><\/i><span><b>This is not proof of causation<\/b>We can see that the metrics have increased following work on our own domain. As we do not have a control group, we cannot rule out the possibility that part of the change is due to updates to the models themselves.<\/span><\/div>\n<\/div>\n<style>\n.lm{display:grid;grid-template-columns:1fr 1fr;gap:12px;font-family:'Nunito Sans',sans-serif;max-width:1000px;margin:0 auto}\n.lm-i{display:flex;gap:12px;align-items:flex-start;background:rgba(245,246,248,.05);border:1px solid rgba(245,246,248,.12);border-radius:14px;padding:18px}\n.lm-i i{width:8px;height:8px;border-radius:50%;flex-shrink:0;margin-top:7px}\n.lm-i .a{background:#B79CFF}.lm-i .b{background:#7FB3F0}.lm-i .c{background:#E0B872}.lm-i .d{background:#4FD6B4}\n.lm-i b{display:block;font:800 14px\/1.35 'Nunito Sans';color:#F5F6F8;margin-bottom:5px}\n.lm-i span{font:400 13.5px\/1.65 'Nunito Sans';color:#9AA0AB}\n@media (max-width:760px){ .lm{grid-template-columns:1fr} }\n<\/style>\n\n\n<\/div><div class=\"bde-text-604-152 bde-text\" data-entrance=\"slideUp\">\nFuture studies will cover more brands and categories. Until then, please treat these figures as a single case study rather than the norm.\n<\/div><\/div>\n<\/section><section id=\"faq\" class=\"bde-section-604-153 bde-section ae-faq\">\n  \n  \n\t\n\n\n\n<div class=\"section-container\"><div class=\"bde-div-604-154 bde-div\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<div class=\"bde-text-604-155 bde-text\" data-entrance=\"slideUp\">\nFAQ\n<\/div><h2 class=\"bde-heading-604-156 bde-heading\" data-entrance=\"slideUp\">\nQuestions about this survey\n<\/h2><div class=\"bde-text-604-157 bde-text\" data-entrance=\"slideUp\">\nQuestions about the methodology, the data and what this implies for other categories.\n<\/div>\n<\/div><div class=\"bde-text-604-158 bde-text\" data-entrance=\"slideUp\">\n<details class=\"fq\"><summary><span class=\"q\">How many brands were included in this survey?<\/span><span class=\"s\" aria-hidden=\"true\"><\/span><\/summary><div class=\"a\"><p>Just one. This is a single-case study conducted over three months using a fixed set of 18 queries, not a sample-based study. The results describe a mechanism, not a market distribution.<\/p><\/div><\/details><details class=\"fq\"><summary><span class=\"q\">Why don\u2019t you give the visibility index as a percentage?<\/span><span class=\"s\" aria-hidden=\"true\"><\/span><\/summary><div class=\"a\"><p>This is because, between the measurements, the set of engines and the method used to calculate the average changed. The figures from June and September do not represent the same quantity, so plotting them on the same graph would be misleading.<\/p><\/div><\/details><details class=\"fq\"><summary><span class=\"q\">Did the brand pay to have these results published?<\/span><span class=\"s\" aria-hidden=\"true\"><\/span><\/summary><div class=\"a\"><p>No. These are data from measurements carried out as part of routine maintenance, published without the company\u2019s name or the names of its products.<\/p><\/div><\/details><details class=\"fq\"><summary><span class=\"q\">How do we know that the increase was due to work on the website?<\/span><span class=\"s\" aria-hidden=\"true\"><\/span><\/summary><div class=\"a\"><p>It is not known for certain. We can see a temporal correlation, but without a control group, it is impossible to distinguish the effect of the work from the updates to the models themselves. We therefore describe this as an observation, not as proof of causation.<\/p><\/div><\/details><details class=\"fq\"><summary><span class=\"q\">Will it be the same in my sector?<\/span><span class=\"s\" aria-hidden=\"true\"><\/span><\/summary><div class=\"a\"><p>The pace depends mainly on how saturated the category is. The brand under review operates in a regional niche, where the models had few specific indications. In a category with dozens of recognisable players, the first mentions tend to come later.<\/p><\/div><\/details><details class=\"fq\"><summary><span class=\"q\">What needs to be done to ensure that the model starts recommending, rather than just listing?<\/span><span class=\"s\" aria-hidden=\"true\"><\/span><\/summary><div class=\"a\"><p>Obtain independent quality endorsements from outside your own sphere: reviews, comparative tests, rankings. We discuss this in the article <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/knows-it-but-doesnt-recommend-it\/\">knows it, but doesn\u2019t recommend it<\/a>.<\/p><\/div><\/details><details class=\"fq\"><summary><span class=\"q\">How often did you repeat the measurement?<\/span><span class=\"s\" aria-hidden=\"true\"><\/span><\/summary><div class=\"a\"><p>Once a month, using the same set of queries. We explain why this is the case in the article <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/how-often-should-visibility-be-measured\/\">How often should visibility be measured?<\/a>.<\/p><\/div><\/details><details class=\"fq\"><summary><span class=\"q\">Will there be further studies?<\/span><span class=\"s\" aria-hidden=\"true\"><\/span><\/summary><div class=\"a\"><p>Yes, as we gather data from more brands and categories. Further publications will appear on this page.<\/p><\/div><\/details>\n<\/div><\/div>\n<\/section><section class=\"bde-section-604-159 bde-section ae-cta\">\n  \n  \n\t\n\n\n\n<div class=\"section-container\"><div class=\"bde-div-604-160 bde-div\" data-entrance=\"slideUp\">\n  \n  \n\t\n\n\n\n<h2 class=\"bde-heading-604-161 bde-heading\" data-entrance=\"slideUp\">\nSee where your brand stands\n<\/h2><div class=\"bde-text-604-162 bde-text\" data-entrance=\"slideUp\">\nYou start with 250 AeloCoins, without a card. These are enough to start a measurement and test the modules. Once you\u2019ve used them up, you switch to a paid plan. Measurements start straight away, and a full report on your brand is included from the Starter plan onwards. You\u2019ll see mentions, citations and brand awareness figures separately, just as in this study.\n<\/div><div class=\"bde-button-604-163 bde-button\" data-entrance=\"slideUp\">\n        \n    \n    \n    \n                            \n            \n                    \n            \n            \n\n    \n    \n    \n    \n                            \n    <a class=\"breakdance-link button-atom button-atom--secondary bde-button__button\" href=\"https:\/\/aeloapp.io\/en\/rejestracja\/\" target=\"_self\" data-type=\"url\"  rel=\"follow\" >\n\n    \n        <span class=\"button-atom__text\">Create an account<\/span>\n\n        \n        \n                <\/a>\n\n    \n\n\n<\/div><div class=\"bde-text-604-164 bde-text\" data-entrance=\"slideUp\">\nRelated: <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/knows-it-but-doesnt-recommend-it\/\">knows it, but doesn\u2019t recommend it<\/a>, <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/methodology\/\">methodology<\/a>, <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/how-often-should-visibility-be-measured\/\">How often should visibility be measured?<\/a>, <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/why-does-ai-recommend-the-competition\/\">Why does AI recommend the competition?<\/a>, <a href=\"https:\/\/aeloapp.io\/en\/visibility-in-ai\/\">Visibility<\/a>.\n<\/div>\n<\/div><\/div>\n<\/section><\/main>","protected":false},"excerpt":{"rendered":"<p>Strona g\u0142\u00f3wna\/Wiedza\/Badania Wiedza Badania Publikujemy tu wyniki w\u0142asnych pomiar\u00f3w widoczno\u015bci marek w odpowiedziach AI. Pierwsze badanie obejmuje jedn\u0105 mark\u0119, zamro\u017cony zestaw 18 zapyta\u0144 i pomiary z czerwca, lipca i wrze\u015bnia 2026. G\u0142\u00f3wny wynik: marka przesz\u0142a od zera wzmianek do bycia najcz\u0119\u015bciej cytowanym \u017ar\u00f3d\u0142em w swojej kategorii, a modele nadal jej nie polecaj\u0105. Ostatnia aktualizacja: 14 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":70,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_breakdance_hide_in_design_set":false,"_breakdance_tags":"","footnotes":""},"class_list":["post-604","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.4 (Yoast SEO v28.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Badania widoczno\u015bci marek w AI: wyniki pomiar\u00f3w | Aelo<\/title>\n<meta name=\"description\" content=\"Marka przesz\u0142a od zera wzmianek do 18 z 18 zapyta\u0144, a cytowania jej domeny wzros\u0142y do 94%. Modele nadal jej nie polecaj\u0105. 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The models still do not recommend it. Methodology, data and limitations.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/aeloapp.io\/en\/knowledge\/research\/","og_locale":"en_GB","og_type":"article","og_title":"Badania","og_description":"Marka przesz\u0142a od zera wzmianek do 18 z 18 zapyta\u0144, a cytowania jej domeny wzros\u0142y do 94%. Modele nadal jej nie polecaj\u0105. 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